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VRV central air-conditioning controller Research

Author: LiangTao
Tutor: LiShuJiang
School: Shenyang University of Technology
Course: Control Theory and Control Engineering
Keywords: VRV central air-conditioning Superheat Electronic expansion valve opening Fuzzy Adaptive
CLC: TP273
Type: Master's thesis
Year: 2012
Downloads: 49
Quote: 0
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Abstract


With the rapid economic and technological development and increasing the quality of people's living standards improve , businesses on the air-conditioning equipment and more widely, its comfort requirements are also increasing, but now a growing problem of energy shortage , air conditioning as energy-hungry , so the air-conditioning energy-saving technology research should deserve our attention. This paper analyzes the VRV central air-conditioning control technology development status and VRV central air conditioning works , understand the air conditioning system has a parameter tuning difficult , slow time-varying , nonlinear , uncertainties and other characteristics, and the requirements of adaptive fuzzy model is not high, there is a strong uncertainty adaptive control system to solve the contradiction between the stability and accuracy . In this paper, fuzzy adaptive control, through the electronic expansion valve opening control evaporator outlet superheat , so to achieve the desired superheat setting , to achieve a reasonable distribution of the refrigerant flow and improve the air conditioning energy efficiency . The paper also through the experiment platform to build the mathematical model of the controlled object , the fuzzy adaptive method used in this mathematical model , using MATLAB Simulink software components to build a control system and simulation verification , in addition, in order to further validate the approach control effects, compared to the traditional PID control, fuzzy control and fuzzy adaptive control three options in a variety of different working conditions under the control effect obtained through MATLAB simulation experiment data, analyze the system's maximum overshoot, rise time, adjust the time and steady-state error , authentication is based on fuzzy adaptive control superheat controller superiority. Through the analysis of experimental data indicates that the fuzzy adaptive controller can achieve optimal control of superheat and air conditioning models at different working conditions changed, still obtain satisfactory control performance , maximum overshoot less than 5% , steady-state error is less than 1% , improved air conditioning energy efficiency , verify the feasibility and superiority of the controller , there is some engineering reference value .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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